Featured Publications
Risk of Non-Melanoma Cancers in First-Degree Relatives of CDKN2A Mutation Carriers
Mukherjee B, DeLancey J, Raskin L, Everett J, Jeter J, Begg C, Orlow I, Berwick M, Armstrong B, Kricker A, Marrett L, Millikan R, Culver H, Rosso S, Zanetti R, Kanetsky P, From L, Gruber S, Investigators F. Risk of Non-Melanoma Cancers in First-Degree Relatives of CDKN2A Mutation Carriers. Journal Of The National Cancer Institute 2012, 104: 953-956. PMID: 22534780, PMCID: PMC3379723, DOI: 10.1093/jnci/djs221.Peer-Reviewed Original ResearchConceptsFirst-degree relatives of carriersCDKN2A mutation carriersFirst-degree relativesMutation carriersNon-melanoma cancersFirst-degree relatives of melanoma patientsFirst-degree relatives of mutation carriersKin-cohort methodConfidence intervalsRisk of cancerMelanoma patientsLifetime riskProband's genotypeNon-melanomaFamily membersIncreased riskGastrointestinal cancerCDKN2A mutationsWilms tumorRiskMelanoma StudyPancreatic cancerNoncarriersGenotype distributionMelanoma
2024
Multiple metal exposures associate with higher amyotrophic lateral sclerosis risk and mortality independent of genetic risk and correlate to self-reported exposures: a case-control study
Jang D, Dou J, Koubek E, Teener S, Zhou L, Bakulski K, Mukherjee B, Batterman S, Feldman E, Goutman S. Multiple metal exposures associate with higher amyotrophic lateral sclerosis risk and mortality independent of genetic risk and correlate to self-reported exposures: a case-control study. Journal Of Neurology Neurosurgery & Psychiatry 2024, jnnp-2024-333978. PMID: 39107037, DOI: 10.1136/jnnp-2024-333978.Peer-Reviewed Original ResearchAmyotrophic lateral sclerosis riskEnvironmental risk scoreAssociated with ALS riskALS riskGenetic riskRisk scorePolygenic risk scoresSelf-reported exposureGenome-wide association studiesStudy investigated associationsCase-control studySingle-nucleotide polymorphismsAssociation studiesExposure mixturesControl participantsExposure sourcesRiskParticipantsAmyotrophic lateral sclerosisSurvival modelsScoresAssociationEnvironmental factorsUrine metalsUrine samplesAvocational exposure associations with ALS risk, survival, and phenotype: A Michigan-based case-control study
Goutman S, Boss J, Jang D, Piecuch C, Farid H, Batra M, Mukherjee B, Feldman E, Batterman S. Avocational exposure associations with ALS risk, survival, and phenotype: A Michigan-based case-control study. Journal Of The Neurological Sciences 2024, 457: 122899. PMID: 38278093, PMCID: PMC11060628, DOI: 10.1016/j.jns.2024.122899.Peer-Reviewed Original ResearchConceptsALS riskLower educational attainmentAssociated with ALS riskCase-control studyExercise 5Onset ageSelf-completionExposure variablesYard workExposure associationsRecreational danceIdentified exposureExerciseEducational attainmentAL burdenEnvironmental exposuresParticipantsAL factorPersonal participationAvocational exposureRiskExposomeHobbiesALS onsetComparison correction
2023
A framework for assessing interactions for risk stratification models: the example of ovarian cancer
Phung M, Lee A, McLean K, Anton-Culver H, Bandera E, Carney M, Chang-Claude J, Cramer D, Doherty J, Fortner R, Goodman M, Harris H, Jensen A, Modugno F, Moysich K, Pharoah P, Qin B, Terry K, Titus L, Webb P, Wu A, Zeinomar N, Ziogas A, Berchuck A, Cho K, Hanley G, Meza R, Mukherjee B, Pike M, Pearce C, Trabert B. A framework for assessing interactions for risk stratification models: the example of ovarian cancer. Journal Of The National Cancer Institute 2023, 115: 1420-1426. PMID: 37436712, PMCID: PMC10637032, DOI: 10.1093/jnci/djad137.Peer-Reviewed Original ResearchConceptsFamily history of ovarian cancerOvarian Cancer Association ConsortiumHistory of ovarian cancerFirst-degree family historyMenopausal statusRisk stratification modelCase-control studyRisk prediction modelOvarian cancerDisease riskAccurate risk stratification modelsStratification modelRisk/protective factorsDepot medroxyprogesterone acetate useProtective factorsFactor analysisRiskComprehensive analysis of interactionsCancerAcetate useUnequivocal riskStatusBreastfeedingAnalysis of interactionsPairwise interactionsCharacterizing and Predicting Post-Acute Sequelae of SARS CoV-2 Infection (PASC) in a Large Academic Medical Center in the US
Fritsche L, Jin W, Admon A, Mukherjee B. Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 Infection (PASC) in a Large Academic Medical Center in the US. Journal Of Clinical Medicine 2023, 12: 1328. PMID: 36835863, PMCID: PMC9967320, DOI: 10.3390/jcm12041328.Peer-Reviewed Original ResearchPost-Acute Sequelae of SARS CoV-2 infectionElectronic health record dataPhenotype risk scoreHealth record dataCase-control study designPhenome-wide scanAcademic medical centerRisk prediction modelPost-COVID-19Risk stratification approachStudy designRecord dataRisk scoreHistory of COVID-19Medical CenterCOVID-19Increased riskPre-COVID-19Post-acute sequelaePre-COVID-19 periodRiskPost-COVID-19 periodCohortStratification approachSARS CoV-2 infection
2022
The importance of community during rapid development: The influence of social networks on acute gastrointestinal illness in rural Ecuador
Hegde S, Trostle J, Mukherjee B, Eisenberg J. The importance of community during rapid development: The influence of social networks on acute gastrointestinal illness in rural Ecuador. SSM - Population Health 2022, 19: 101159. PMID: 35795263, PMCID: PMC9251719, DOI: 10.1016/j.ssmph.2022.101159.Peer-Reviewed Original ResearchAcute gastrointestinal illnessTwo-stage Bayesian hierarchical modelCommunity-level factorsCross-sectional analysisGastrointestinal illnessFocus groupsReduce healthSocial networksDense social tiesWashing practicesInfluence of social networksNetworks of peopleCommunity cohesionSocial infrastructureSocial tiesIllnessBayesian hierarchical modelJoint effectsCommunity networksPeopleMeasures of riskRiskCommunityIncreasing population densityIndividuals
2012
Where science meets policy: comparing longitudinal and cross-sectional designs to address diarrhoeal disease burden in the developing world
Markovitz A, Goldstick J, Levy K, Cevallos W, Mukherjee B, Trostle J, Eisenberg J. Where science meets policy: comparing longitudinal and cross-sectional designs to address diarrhoeal disease burden in the developing world. International Journal Of Epidemiology 2012, 41: 504-513. PMID: 22253314, PMCID: PMC3324455, DOI: 10.1093/ije/dyr194.Peer-Reviewed Original ResearchConceptsCross-sectional studyCross-sectional designEffect estimatesLongitudinal studyRisk factorsDisease risk factorsRisk factor distributionInforming public health policyPublic health policiesPublic health communityRisk factor effectsHousehold risk factorsDiarrhoeal disease burdenFactor effect estimatesHealth policyDiarrhoeal disease surveillanceEcuadorian villageNational policy decisionsHealth communityDisease burdenCross-sectionDisease surveillanceFactor distributionRiskGeographic regions
2009
M2006 Elevated Risk of Colorectal Cancer in Inflammatory Bowel Disease and Modification of Risk By Statin Use: A Population-Based Case-Control Study
Samadder N, Huang S, Mukherjee B, Rennert G, Gruber S. M2006 Elevated Risk of Colorectal Cancer in Inflammatory Bowel Disease and Modification of Risk By Statin Use: A Population-Based Case-Control Study. Gastroenterology 2009, 136: a-465. DOI: 10.1016/s0016-5085(09)62140-5.Peer-Reviewed Original Research
2006
A Score Test for Determining Sample Size in Matched Case‐Control Studies with Categorical Exposure
Sinha S, Mukherjee B. A Score Test for Determining Sample Size in Matched Case‐Control Studies with Categorical Exposure. Biometrical Journal 2006, 48: 35-53. PMID: 16544811, DOI: 10.1002/bimj.200510200.Peer-Reviewed Original ResearchConceptsCase-control studyCategorical exposureMatched case-control studyScore testDichotomous exposureNull hypothesisExposure variablesOdds ratioNatural orderDisease-gene associationsMatched setsDisease riskColorectal cancerPower functionSample sizeAssociationOddsGeneralizationDiseaseSetsScoresEstimationExposureStudyRisk